Schedule

Here’s your roadmap for the year!

Every class session has four important sections. You should read about the details for each using the main menu at the top of this webpage.

tl;dr: You should follow this general process each week:

  • Check out the overview () page and do any thinking/reading/prep suggested if you have the chance
  • Come to the lecture () page
  • Attend the lab () and get cracking
  • Use the plentiful Mini-Diss resources () to help you smash the MD

https://littlemonkeylab.com/researchmethods/weeks/week02.html

Weekly schedule

week date what topic prepare slides lab reading minidiss notes
1 Monday , 02 October Lecture01 No lab
Tuesday , 03 October Lab01 Welcome to STA 199 Here is some deadline information!
2 Monday , 09 October Lecture02 Hello R!
Tuesday , 10 October Lab02 Grammar of graphics And something spicy here too!
3 Monday , 16 October Lecture03 Visualizing various types of data
Tuesday , 17 October Lab03
4 Monday , 23 October Lecture04
Tuesday , 24 October Lab04
5 Monday , 30 October Lecture05
Tuesday , 31 October Lab05
Reading Week
6 Monday , 13 November Lecture06 Data visualization
Tuesday , 14 November Lab06 Grammar of data wrangling
7 Monday , 20 November Lecture07 Working with multiple data frames
Tuesday , 21 November Lab07
8 Monday , 27 November Lecture08 Data wrangling
Tuesday , 28 November Lab08 Tidying data
9 Monday , 04 December Lecture09 Data types and classes
Tuesday , 05 December Lab09
10 Monday , 11 December Lecture10 Data tidying
Tuesday , 12 December Lab10 Importing and recoding data
Winter Break
11 Monday , 08 January Lecture11
Tuesday , 09 January Lab11 No lab - Work on Eam 1
12 Monday , 15 January Lecture12 Data science ethics - Misrepresentation
Tuesday , 16 January Lab12 Data science ethics - Algorithmic bias + data privacy
13 Monday , 22 January Lecture13 No lab - Fall break
Tuesday , 23 January Lab13 No Lec - Fall break
14 Monday , 29 January Lecture14 Web scraping
Tuesday , 30 January Lab14 Work on project proposal
15 Monday , 05 February Lecture15 Functions + iteration
Tuesday , 06 February Lab15 The language of models
Reading Week
16 Monday , 19 February Lecture16 Probability + Simpson's Parado
Tuesday , 20 February Lab16 Models with a single predictor
17 Monday , 26 February Lecture17 Models with multiple predictors
Tuesday , 27 February Lab17
18 Monday , 04 March Lecture18 Predicting a numerical outcome
Tuesday , 05 March Lab18 Models with multiple predictors + Overfitting
19 Monday , 11 March Lecture19
Tuesday , 12 March Lab19
20 Monday , 18 March Lecture20
Tuesday , 19 March Lab20
Week Dates Topic
No matching items